Accelirate undertook a comprehensive solution to enhance manufacturing operations, starting with the meticulous collection and pre-processing of a diverse dataset of multilingual messages and tickets from the client’s units.
The solution entailed the collection of a diverse dataset of multilingual messages and tickets from the client’s different manufacturing units, which was then carefully pre-processed to ensure data quality, language diversity, and relevance to the manufacturing domain. The focus was on optimizing translation accuracy and enhancing request categorization.
Using the collected and pre-processed dataset, Accelirate trained a customized GPT model specifically tailored to the client’s requirements. The model was trained on a wide range of manufacturing-related topics, multilingual conversations, and ticketing data. The training focused on optimizing translation accuracy and request categorization.
After deployment, the GPT model was integrated into the client automation platform, UiPath. Whenever an email was received in any language, the message was passed through the GPT model. The model provided real-time and accurate translations, enabling seamless communication.
Simultaneously, the GPT model analyzed the content of incoming messages and accurately categorized them based on predefined topics and departments. The categorization process utilized the knowledge acquired during training to identify the purpose and subject matter of each message.
Once messages were translated and categorized, Accelirate leveraged UiPath, an industry-leading RPA tool, to automate ticket creation in Jira. UiPath interacted with Jira’s API, extracted relevant details from the original message, and created tickets with the appropriate category, priority, and assigned team. This automation eliminated the need for manual ticket creation, reducing errors and accelerating response times.